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1. 发明申请

US20120259872A1 Automatically Generating Data Transformations for Business Process Platforms 有权
标题翻译：自动生成业务流程平台的数据转换
公开(公告)号：US20120259872A1
公开(公告)日：2012-10-11
申请号：US13080599
申请日：2011-04-05
申请人： Arijit Sengupta , Brad A. Stronger
发明人： Arijit Sengupta , Brad A. Stronger
IPC分类号： G06F17/30
CPC分类号： G06F17/30286 , G06F17/30867 , G06Q10/06
摘要： Business process providers implement client data processing processes for clients. The business process providers use certain formats (provider formats, defined by provider format fields). The clients use certain formats (client formats, defined by client format fields). A normative format is automatically defined and used as an intermediary between client and provider formats. Mappings between the normative format and the client and provider formats can be generated automatically.
摘要翻译：业务流程提供商为客户端实施客户端数据处理流程。业务流程提供商使用某些格式（提供者格式，由提供者格式字段定义）。客户端使用某些格式（由客户端格式字段定义的客户端格式）。自动定义规范格式，并将其用作客户端和提供者格式之间的中介。标准格式与客户端和提供者格式之间的映射可以自动生成。

2. 发明申请

US20120047552A1 DYNAMICALLY UPDATED SECURE HANDLING OF DOCUMENTS CONTAINING RESTRICTED INFORMATION 审中-公开
标题翻译：动态更新的安全处理包含限制信息的文档
公开(公告)号：US20120047552A1
公开(公告)日：2012-02-23
申请号：US13190372
申请日：2011-07-25
申请人： Arijit Sengupta , Brad A. Stronger
发明人： Arijit Sengupta , Brad A. Stronger
IPC分类号： G06F21/00
CPC分类号： G06F21/6245 , G06F21/60 , G06F21/6227 , H04L9/0894
摘要： A method, system and computer program product for processing documents containing restricted information. One aspect concerns updating the relevant information security rules applicable to the documents.
摘要翻译：一种用于处理含有限制信息的文件的方法，系统和计算机程序产品。一方面涉及更新适用于文件的相关信息安全规则。

3. 发明申请

US20110060728A1 Operator-specific Quality Management and Quality Improvement 有权
标题翻译：运营商特定的质量管理和质量改进
公开(公告)号：US20110060728A1
公开(公告)日：2011-03-10
申请号：US12944547
申请日：2010-11-11
申请人： Arijit Sengupta
发明人： Arijit Sengupta
IPC分类号： G06F17/00
CPC分类号： G06F17/30011 , G06Q10/06 , G06Q10/06311 , G06Q20/10 , G06Q99/00
摘要： Methods and systems for improving a data processing operation based on operator-specific quality management and/or monitoring. For example, operator-specific frequency of errors, error rates, error patterns and/or root causes may be identified. Operator-specific actions may then be taken based on these.
摘要翻译：基于运营商特定质量管理和/或监控来改进数据处理操作的方法和系统。例如，可以识别操作者特定的错误频率，错误率，错误模式和/或根本原因。然后可以基于这些操作员特定的操作。

4. 发明授权

US07720822B1 Quality management in a data-processing environment 失效
公开(公告)号：US07720822B1
公开(公告)日：2010-05-18
申请号：US11084759
申请日：2005-03-18
申请人： Arijit Sengupta
发明人： Arijit Sengupta
IPC分类号： G06F17/00 , G06Q40/00
CPC分类号： G06Q40/00 , G06Q20/10
摘要： A method, system and computer program for quality management of a plurality of documents associated with a data-processing operation of an organization is provided. The documents include several fields, the organization has employees, and the method comprises determination of error rates. Errors are reduced in the plurality of documents by focusing on critical fields. The occurrence of errors is predicted by determining a correlation between the errors and a set of attributes, which is updated. Reducing and predicting errors control the error rate. A method for measuring the quality of a plurality of documents is also provided. The measurement is based on the relative operational impact of the errors and the frequency of errors associated with each field.

5. 发明授权

US09135290B2 Analyzing time variations in a data set 有权
标题翻译：分析数据集中的时间变化
公开(公告)号：US09135290B2
公开(公告)日：2015-09-15
申请号：US14672031
申请日：2015-03-27
申请人： BeyondCore, Inc.
发明人： Arijit Sengupta , Brad A. Stronger , Griffin Chronis
IPC分类号： G06F17/30
CPC分类号： G06F17/30371 , G06F17/30312 , G06F17/30551 , G06Q10/06 , G06Q10/0637 , G06Q10/0639 , G06Q10/067 , G06Q30/02
摘要： Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution. Similarly, differences in observations between two groups can be decomposed into multiple contributing sub-groups for each of the groups and pairwise differences among sub-groups can be quantified and analyzed.
摘要翻译：分析和呈现业务智能数据的方法可以随着数据集的大小而增加有效的可扩展性。通过增加决策能力，选择大型数据集的哪些方面应该集中于推动关键业务成果，从而最大程度地减少人为干预。作为主要观察值的主要驱动因素的变量值组合可以从多个竞争变量值组合自动确定。然后可以将所识别的变量值组合用于预测商业智能数据的未来趋势。在另一个实施例中，观察到的结果被分解成多个贡献的驱动器，并且可以分析和数值量化每个贡献驱动器的影响 - 作为静态快照或作为时变演进。类似地，两组之间的观察值差异可以分解为每个组的多个贡献子组，并且可以量化和分析子组之间的成对差异。

6. 发明申请

US20120047553A1 SECURE DISTRIBUTED STORAGE OF DOCUMENTS CONTAINING RESTRICTED INFORMATION, VIA THE USE OF KEYSETS 审中-公开
标题翻译：通过限制性信息的文件的安全分发存储，通过使用KEYSETS
公开(公告)号：US20120047553A1
公开(公告)日：2012-02-23
申请号：US13190377
申请日：2011-07-25
申请人： Brad A. Stronger , Arijit Sengupta
发明人： Brad A. Stronger , Arijit Sengupta
IPC分类号： G06F21/00
CPC分类号： G06F21/6245 , G06F21/60 , G06F21/6227 , H04L9/0894
摘要： A method, system and computer program product for processing documents containing restricted information. One aspect concerns storing documents in a distributed but secure manner, for example using keysets.
摘要翻译：一种用于处理含有限制信息的文件的方法，系统和计算机程序产品。一方面涉及以分布式但安全的方式存储文档，例如使用键盘。

7. 发明授权

US07940929B1 Method for processing documents containing restricted information 有权
标题翻译：处理含有限制信息的文件的方法
公开(公告)号：US07940929B1
公开(公告)日：2011-05-10
申请号：US11286080
申请日：2005-11-23
申请人： Arijit Sengupta
发明人： Arijit Sengupta
IPC分类号： G09C3/08
CPC分类号： G06F21/6272 , G06F2221/2111
摘要： A method, system and computer program product for processing documents containing restricted information. The method for processing the documents includes the step of identifying data fields in the document. The method further includes the steps of identifying a critical section containing data fields corresponding to restricted information, and dividing the document into a critical section and a non-critical section. Further, the method includes the step of processing the non-critical section at a minimally secure location.
摘要翻译：一种用于处理含有限制信息的文件的方法，系统和计算机程序产品。用于处理文档的方法包括识别文档中的数据字段的步骤。该方法还包括以下步骤：识别包含对应于受限制信息的数据字段的关键部分，并将该文档划分为关键部分和非关键部分。此外，该方法包括在最不安全的位置处理非关键部分的步骤。

8. 发明授权

US07849062B1 Identifying and using critical fields in quality management 有权
标题翻译：识别和使用质量管理中的关键领域
公开(公告)号：US07849062B1
公开(公告)日：2010-12-07
申请号：US12787342
申请日：2010-05-25
申请人： Arijit Sengupta , Brad A. Stronger
发明人： Arijit Sengupta , Brad A. Stronger
IPC分类号： G06F17/00
CPC分类号： G06F17/30011 , G06Q10/06 , G06Q10/06311 , G06Q20/10 , G06Q99/00
摘要： Methods and systems for identifying critical fields in documents, for example so that quality improvement efforts can be prioritized on the critical fields. One aspect of the invention concerns a method for improving quality of a data processing operation in a plurality of documents. A set of documents is sampled. An error rate for fields in the documents is estimated based on the sampling. Critical fields are identified based on which fields have error rates higher than a threshold.
摘要翻译：用于识别文档中关键字段的方法和系统，例如，可以在关键领域优先考虑质量改进工作。本发明的一个方面涉及一种用于提高多个文档中的数据处理操作的质量的方法。对一组文件进行抽样。根据抽样估算文件中字段的错误率。基于哪些字段的错误率高于阈值来标识关键字段。

9. 发明授权

US09141655B2 Multi-screen reporting of deviation patterns within a data set 有权
标题翻译：多屏幕报告数据集中的偏差模式
公开(公告)号：US09141655B2
公开(公告)日：2015-09-22
申请号：US14672019
申请日：2015-03-27
申请人： BeyondCore, Inc.
发明人： Arijit Sengupta , Brad A. Stronger , Griffin Chronis
IPC分类号： G06F17/30
CPC分类号： G06F17/30312 , G06F17/30371 , G06F17/30572 , G06Q10/06 , G06Q10/0637 , G06Q10/0639 , G06Q10/067
摘要： Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution. Similarly, differences in observations between two groups can be decomposed into multiple contributing sub-groups for each of the groups and pairwise differences among sub-groups can be quantified and analyzed.
摘要翻译：分析和呈现业务智能数据的方法可以随着数据集的大小而增加有效的可扩展性。通过增加决策能力，选择大型数据集的哪些方面应该集中于推动关键业务成果，从而最大程度地减少人为干预。作为主要观察值的主要驱动因素的变量值组合可以从多个竞争变量值组合自动确定。然后可以将所识别的变量值组合用于预测商业智能数据的未来趋势。在另一个实施例中，观察到的结果被分解成多个贡献的驱动器，并且可以分析和数值量化每个贡献驱动器的影响 - 作为静态快照或作为时变演进。类似地，两组之间的观察值差异可以分解为每个组的多个贡献子组，并且可以量化和分析子组之间的成对差异。

10. 发明授权

US09098810B1 Recommending changes to variables of a data set to impact a desired outcome of the data set 有权
标题翻译：建议对数据集的变量进行更改以影响数据集的所需结果
公开(公告)号：US09098810B1
公开(公告)日：2015-08-04
申请号：US14672017
申请日：2015-03-27
申请人： BeyondCore, Inc.
发明人： Arijit Sengupta , Brad A. Stronger , Griffin Chronis
IPC分类号： G06F17/30 , G06N5/04
CPC分类号： G06N5/04 , G06F17/30 , G06F17/30371 , G06Q10/06 , G06Q10/0637 , G06Q10/0639 , G06Q10/067 , G06Q30/02
摘要： Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution. Similarly, differences in observations between two groups can be decomposed into multiple contributing sub-groups for each of the groups and pairwise differences among sub-groups can be quantified and analyzed.
摘要翻译：分析和呈现业务智能数据的方法可以随着数据集的大小而增加有效的可扩展性。通过增加决策能力，选择大型数据集的哪些方面应该集中于推动关键业务成果，从而最大程度地减少人为干预。作为主要观察值的主要驱动因素的变量值组合可以从多个竞争变量值组合自动确定。然后可以将所识别的变量值组合用于预测商业智能数据的未来趋势。在另一个实施例中，观察到的结果被分解成多个贡献的驱动器，并且可以分析和数值量化每个贡献驱动器的影响 - 作为静态快照或作为时变演进。类似地，两组之间的观察值差异可以分解为每个组的多个贡献子组，并且可以量化和分析子组之间的成对差异。

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